Instructions to use Varun-Chowdary/hallucination_detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varun-Chowdary/hallucination_detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Varun-Chowdary/hallucination_detect")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Varun-Chowdary/hallucination_detect") model = AutoModelForSequenceClassification.from_pretrained("Varun-Chowdary/hallucination_detect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Varun-Chowdary/hallucination_detect: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
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https://huggingface.co/Varun-Chowdary/hallucination_detect/resolve/main/tokenizer.json
- Command line
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hf download hf://Varun-Chowdary/hallucination_detect/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Varun-Chowdary/hallucination_detect/resolve/main/tokenizer.json
8.66 MB
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